Dr Enayet Rahman
Contact details
About
Overview
Dr Enayet Rahman is a Lecturer in Biomedical Engineering at City St George’s, University of London, whose research focuses on the development of advanced biomedical sensing and measurement systems for diagnostic and therapeutic applications. His work is characterised by a strong interdisciplinary approach, integrating electrical engineering, photonics, and biomedical sciences to address challenges in healthcare instrumentation and non-invasive diagnostics.
Dr Rahman has developed a coherent research programme centred on bioimpedance spectroscopy, multimodal sensing, and computational modelling, with particular emphasis on translating fundamental measurement principles into clinically relevant, point‑of‑care technologies. His work contributes to the emerging field of measurement-driven biomedical systems, where advances in electronics and sensing architectures directly enable improved physiological characterisation and disease detection.
He obtained his PhD in Photonics from City University London, where his research investigated the interaction of optical stimuli with biological tissues. This work established a foundation for his continued contributions to optical–electrical interactions in biological systems and the development of novel neurostimulation and sensing platforms.
Research Contributions and Themes
Dr Rahman’s research can be organised around three interrelated themes:
1. Bioimpedance and Biomedical Instrumentation
His work advances the design of bioimpedance sensing systems, including electrode configurations, measurement electronics, and system architectures for characterising biological tissues and fluids. This includes contributions to the development of multi-electrode systems and impedance-based measurement platforms for biomedical applications.
2. Microfluidic and Integrated Sensing Systems
He has contributed to the integration of microfluidic technologies with electrical and optical sensing, enabling controlled environments for biological measurements and improving the reliability and reproducibility of diagnostic data. His work includes sensor development and platform integration for biological sample characterisation and experimental validation.
3. Multimodal and Data‑Driven Diagnostics
Dr Rahman’s research extends to multimodal sensing systems, combining impedance, spectroscopy, and signal processing approaches to enhance diagnostic capability. He has contributed to studies involving portable spectroscopic systems and data-driven analysis, demonstrating the potential for non-invasive detection and classification of biological conditions.
Dr Rahman’s research is aligned with key priorities in modern healthcare, including:
- Development of point‑of‑care diagnostic technologies
- Advancement of non-invasive measurement techniques
- Integration of engineering innovation with clinical applications
His work within the Targeted Therapy Technology (3T) Research Group and Research Centre for Biomedical Engineering contributes to projects focused on bioimpedance sensing, diabetes detection, wound healing, and biomedical monitoring systems, highlighting clear pathways towards translational impact.
Dr Rahman has produced peer‑reviewed outputs in journals and international conferences spanning:
- Biomedical instrumentation and sensing systems
- Bioimpedance measurement and electrode design
- Spectroscopy-based diagnostics
- Signal processing and computational modelling
His publications demonstrate contributions to both fundamental measurement science and applied biomedical engineering, supporting the development of scalable diagnostic systems.
Dr Rahman’s research establishes a clear and growing contribution to biomedical measurement science, with particular strength in the development of integrated sensing platforms for healthcare applications. His work demonstrates:
- A coherent and developing programme of internationally relevant research
- Strong alignment with translational and impact-driven engineering research
- Clear potential for future leadership in point‑of‑care diagnostic technologies
Publications
Publications by category
Conference papers and proceedings (8)
- El Halabi, N., Rahman, E., Rahal, M., Powner, M. and Triantis, I. (2025). Optimized Regression Modeling for Predicting Electrical Resistance in 3D Structures. 2025 International Conference on Microelectronics (ICM) 14-17 December.doi:10.1109/icm66518.2025.11322441
- Rabbani, M., Nwokoye, I.I., Rahman, E., Powner, M.B. and Triantis, I.F. (2025). In-vitro Assessment of the Adaptive Howland Current Source for Bioimpedance Haemolysis Measurements. 2025 IEEE International Symposium on Circuits and Systems (ISCAS) 25-28 May.doi:10.1109/iscas56072.2025.11043826
- Rahman, E., Nikolic, B., Powner, M., Ioakim, P. and Triantis, I.F. (2024). Distinction Between Hydration and Fertigation Events in Plant Tetrapolar Bioimpedance Measurements. 2024 IEEE 2nd Conference on AgriFood Electronics (CAFE) 26-28 September.doi:10.1109/cafe63183.2024.11069343
- Bhawmick, B.K., Rahman, E., Bryan, M., Powner, M.B. and Triantis, I.F. (2024). Co-Planar Sensor for Impedimetric Characterization of Aqueous Solutions. 2024 International Workshop on Impedance Spectroscopy (IWIS) 24-27 September.doi:10.1109/iwis63047.2024.10847147
- Ahmed, T., Rahman, E., Bryan, M., Powner, M.B. and Triantis, I.F. (2024). Screen-Printed Microfluidic Channel with Hydrophobic-Hydrophilic Treatments for Air Bubble Prevention. 2024 IEEE BioSensors Conference (BioSensors) 28-30 July.doi:10.1109/biosensors61405.2024.10712711
- Rahman, E., Nikolic, B., Freeman, M., Goralik, S., Ioakim, P. and Triantis, I. (2024). Design of a Cuff Electrode - Inspired Wearable Bioimpedance Plant Sensor. 2024 IEEE BioSensors Conference (BioSensors) 28-30 July.doi:10.1109/biosensors61405.2024.10712677
- Song, W., Wang, H., Rahman, E., Barabas, J., Huang, J., Power, U.F.... Maguire, P. (2021). Rapid Classification of Respiratory Syncytial Virus and Sendai Virus by a Low-cost and Portable Near-infrared Spectrometer. 2021 IEEE Sensors 31 October-3 November.doi:10.1109/sensors47087.2021.9639533
- Uus, A., Liatsis, P., Nardoni, G. and Rahman, E. (2015). Optimisation of transducer positioning in air-coupled ultrasound inspection of concrete/asphalt structures. 2015 International Conference on Systems, Signals and Image Processing (IWSSIP) 10-12 September.doi:10.1109/iwssip.2015.7314237
Journal articles (8)
- Castro-Montano, M., Petros, A., Li, L., Rahman, E., Hannam, S., Clow, G.... Qassem, M. (2026). Generalised oedema monitoring utilising a NIR hyperspectral camera in critically ill neonates: A feasibility study. Biomedical Signal Processing and Control, 115, pp. 109444-109444. doi:10.1016/j.bspc.2025.109444
- Nibouche, O., Asharindavida, F., Wang, H., Vincent, J., Liu, J., van Ruth, S.... Rahman, E. (2024). A new sub-class linear discriminant for miniature spectrometer based food analysis. Chemometrics and Intelligent Laboratory Systems, 250. doi:10.1016/j.chemolab.2024.105136
- Rabbani, M., Rahman, E., Powner, M.B. and Triantis, I.F. (2024). Making Sense of Electrical Stimulation: A Meta-analysis for Wound Healing. Annals of Biomedical Engineering, 52(2), pp. 153-177. doi:10.1007/s10439-023-03371-2
- Huang, J.-.D., Wang, H., Power, U., McLaughlin, J.A., Nugent, C., Rahman, E.... Maguire, P. (2024). Detecting Respiratory Viruses Using a Portable NIR Spectrometer—A Preliminary Exploration with a Data Driven Approach. Sensors, 24(1), pp. 308-308. doi:10.3390/s24010308
- Rahman, E., Liatsis, P., Hashim, Z.Q., Kyriacou, P.A. and Triantis, I.F. (2024). A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection. IEEE Access, 12, pp. 18594-18605. doi:10.1109/access.2024.3356564
- Rabbani, M., Rahman, E., Al Aishan, A., Powner, M.B. and Triantis, I.F. (2023). A Low-Cost, Scalable, and Configurable Multi-Electrode System for Electrical Bio-Interfacing with In-Vitro Cell Cultures. Applied Sciences, 14(1), pp. 162-162. doi:10.3390/app14010162
- Song, W., Wang, H., Power, U.F., Rahman, E., Barabas, J., Huang, J.... Maguire, P. (2022). Classification of Respiratory Syncytial Virus and Sendai Virus Using Portable Near-Infrared Spectroscopy and Chemometrics. IEEE Sensors Journal, 23(9), pp. 9981-9989. doi:10.1109/jsen.2022.3207222
- Rahman, E., Powner, M.B., Kyriacou, P.A. and Triantis, I.F. (2018). Assessment of the Complex Refractive Indices of Xenopus Laevis Sciatic Nerve for the Optimization of Optical (NIR) Neurostimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(12), pp. 2306-2314. doi:10.1109/tnsre.2018.2878107